Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024.
ResponsibilityThe team is responsible for determining how autonomous vehicles navigate based on real-time traffic conditions, including roads, surrounding environments, other vehicles, and pedestrians. It is one of the most core teams in autonomous driving. You will be responsible for one or more of the following tasks:
- Architecture design, algorithm, and system development for high-performance and highly reliable L4 Autonomous Driving Planning algorithms.
- Optimizing and providing safety fallbacks for end-to-end model outputs. Through post-processing, ensure vehicle behavior is safe and controllable, realizing an HD-map-independent autonomous driving system that satisfies L4 capabilities and requirements.
- Designing and developing a redundant system that satisfies L4 capabilities and requirements using lower compute power, select sensors, and end-to-end technology.
- Architecture design and system development for road-test big data analysis and processing.
- Simulation platform development, using massive road-test data to make the simulation platform better align with real-world road test scenarios.
Requirements
- BS in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience
- General software engineering experience, proficient in at least one mainstream programming language (such as C, C++, Python, or Java) and familiar with common data structures and algorithms.
- Excellent communication and collaboration skills.
- Excellent problem transformation and modeling capabilities, with creative thinking to solve challenging problems that haven't been resolved industry-wide.
- MS in Computer Science, ML Robotics, similar technical field of study
- General software engineering experience solving motion planning or related robotics problems
Base Salary Range: $120,000 - $200,000 Annually
Compensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units.
Also, we provide the following benefits to the eligible employees:
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (Traditional and Roth 401k)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Free Food & Snacks
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Skills Required
- Bachelor’s degree in Computer Science, Machine Learning, Robotics, a similar technical field, or equivalent practical experience
- General software engineering experience
- Proficiency in at least one mainstream programming language, such as C, C++, Python, or Java
- Familiarity with common data structures and algorithms
- Excellent communication and collaboration skills
- Excellent problem transformation and modeling capabilities
- Creative thinking to solve challenging unresolved industry problems
- Master’s degree in Computer Science, Machine Learning, Robotics, or a similar technical field
- Experience solving motion planning or related robotics problems
Pony.AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Pony.AI and has not been reviewed or approved by Pony.AI.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive, including medical, dental, and vision, alongside disability/life insurance and an Employee Assistance Program. This makes the core insurance offering a consistent strength within the overall package.
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Wellbeing & Lifestyle Benefits — Daily meals and on-site food perks stand out as especially generous, with free meals, snacks, and drinks repeatedly highlighted. This creates a tangible day-to-day benefit that can materially reduce employees’ out-of-pocket costs during in-office work.
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Equity Value & Accessibility — Equity participation is presented as a standard part of the compensation mix, contributing to the perceived competitiveness of total packages in technical roles. At the same time, perceived value can vary with liquidity timing and broader market performance, shaping how accessible that value feels in practice.
Pony.AI Insights
What We Do
Pony AI Inc. (“Pony.ai”) is a global leader in the large-scale commercialization of autonomous mobility. Leveraging its vehicle-agnostic Virtual Driver technology, full-stack autonomous driving technology that seamlessly integrates its proprietary software, hardware, and services, Pony.ai is developing a commercially viable and sustainable business model that enables the mass production and deployment of vehicles across transportation use cases. Founded in 2016, Pony.ai has expanded its presence across China, Europe, East Asia, the Middle East, and other regions, ensuring widespread accessibility to its advanced technology. Pony.ai is among the first in China to obtain licenses to operate fully driverless vehicles in all four Tier-1 cities in China (Beijing, Guangzhou, Shanghai, Shenzhen) and has begun to offer public-facing, fare-charging robotaxi services without safety drivers in Beijing, Guangzhou and Shenzhen. Pony.ai operates a fleet consisting of over 250 robotaxis. To date, Pony.ai has driven nearly 45 million autonomous testing and operation kilometers on open roads worldwide.
